Abstract: A finger biometric sensing device may include an array of finger biometric sensing pixel electrodes and a gain stage coupled to the array of finger biometric sensing pixel electrodes. The finger biometric sensing device may also include error compensation circuitry that may include a memory capable of storing error compensation data. The error correction circuitry may also include a digital-to-analog converter (DAC) cooperating with the memory and coupled to the gain stage and capable of compensating for at least one error based upon the stored error compensation data.

Abstract: Implementations generally relate to enhancing content appearance. In some implementations, a method includes receiving an image, selecting a reference object in the image. The method also includes determining one or more image parameter adjustments based on the selected reference object, and applying the one or more image parameter adjustments to the entire image.

Abstract: A three-dimensional image is obtained, and a relative degree of interest is set at each of plural positions on a path connecting the plural positions in the three-dimensional image. A discrimination condition for identifying, based on the set degree or degrees of interest, a virtual endoscopic image or images to be generated from the three-dimensional image is obtained, and only the virtual endoscopic image or images identified based on the discrimination condition are generated based on the three-dimensional image.

Abstract: A method of assessing a riparian area includes mapping a physical extent of a potential riparian area (PRA) along a stream using first imagery, determining a percent of basic functional groups of vegetation with the PRA using the first imagery, and determining a Normalized Difference Vegetation Index (NDVI) for the PRA over multiple years using second imagery. The method further includes setting an NDVI threshold value for riparian vegetation in the PRA using the NDVI, mathematically relating the percent of basic functional groups with the NDVI threshold value to evaluate and correct the NDVI threshold value, and determining a proper function and condition (PFC) assessment of the PRA using the corrected NDVI threshold value.

Abstract: Systems, methods, and computer readable media to improve image stabilization operations are described. A novel approach to pixel-based registration of non-reference images to a reference frame in a set of commonly captured images is disclosed which makes use of pyramid decomposition to more efficiently detect corners. The disclosed pixel-based registration operation may also be combined with motion sensor data-based registration approaches to register non-reference images with respect to the reference frame. When the registered non-reference images are combined with the pre-selected reference image, the resulting image is a quality stabilized image.

Abstract: In a method and apparatus for automatic or semi-automatic segmentation of a 3D image data set, acquired by a medical imaging apparatus, of an examination region that includes an organ, the 3D image data set is provided to a computer/processor, which is also provided with information with designating the type of organ imaged in the examination region. The 3D image data set is automatically segmented in the computer/processor using a model-based segmentation algorithm, wherein the designated type of organ is used as a basis of the model. The 3D data set is also automatically or semi-automatically segmented using a greyscale value-based segmentation algorithm. At least one of the segmentation results is displayed.

Abstract: To create a digital surface model of an intra-oral anatomy, a recess or a hole in an impression material having a predetermined shape and size is scanned. The scanning results and information on the predetermined shape and size are used for determining a threshold value representing interface between the impression material and another material. The threshold value is then used in generating the digital surface model from CT scanning data of an impression of an intra-oral anatomy on said impression material.

Abstract: A system and method for computing confidence in an output of a text recognition system includes performing character recognition on an input text image with a text recognition system to generate a candidate string of characters. A first representation is generated, based on the candidate string of characters, and a second representation is generated based on the input text image. A confidence in the candidate string of characters is computed based on a computed similarity between the first and second representations in a common embedding space.

Abstract: The present disclosure provides a method and system for quantifying and making images of tissue anisotropy property based on magnetic resonance imaging (MRI). The systems and methods provided herein utilize orientation distribution of magnetic susceptibility to characterize magnetic susceptibility anisotropy (MSA) inside biological tissues. This MSA may be intrinsic property of the tissue or may be induced by the presence of external agents. In certain embodiments, the MSA is displayed as an orientation distribution function of susceptibility and/or may be described by mathematical quantities such as tensors (e.g., symmetric or asymmetric second order or higher order tensors) and spherical harmonics. In other embodiments, the MSA is characterized using a second order tensor named apparent susceptibility tensor (AST).

Abstract: Disclosed herein is an image processing apparatus including an image data acquisition section, a metadata acquisition section, a display section, a filter setting section, and a combination setting section. The image data acquisition section is configured to acquire image data from a camera. The metadata acquisition section is configured to acquire, from the camera, metadata representing information concerning an object of surveillance. The display section is configured to display a setting screen usable for setting a plurality of filters. The filter setting section is configured to perform filter setting using the information of the metadata. The combination setting section is configured to set a combination of the plurality of filters. The filter setting section and the combination setting section are provided on the same setting screen.

Abstract: Embodiment for detecting duplicate images include systems for determining that two or more of the images have similar key attributes such as attributes related to certain data in the images or image quality. Further, the embodiments include superimposing at least a portion of a first image of the two or more images over at least a portion of the second image of the two or more images, comparing the first image and second image; and determining whether the first image and the second image are identical.

Abstract: An image interpolation method and an image interpolation device and an image apparatus using the image interpolation method are provided. The image interpolation method uses a probabilistic neural network model to perform an adaptive interpolation on an image. The image interpolation method includes the following steps. Firstly, plural reference points neighboring an interpolation point are selected. Then, an anisotropic Gaussian function value of each reference point of the plural reference points is obtained according to an edge direction angle, a horizontal smoothing parameter, a vertical smoothing parameter and a distance between each reference point and the interpolation point. Afterwards, a statistics method is performed to integrate and compute the anisotropic Gaussian function values of the plural reference points, thereby obtaining an interpolation value of the interpolation point.

Abstract: The present invention relates to a system for detecting an object of interest in a scene. The system operates by receiving an image frame of a scene and extracting features from the image frame, the features being descriptors. The descriptors are quantized to generate PHOW features. A sliding window protocol is implemented to slide a window over the image and analyze the PHOW features that fall inside the window. Finally, the system determines if the PHOW features represent the object of interest and, if so, then designates the window as a location in the image with a detected object of interest.

Abstract: An image processing apparatus and a method for processing an image. The image processing apparatus includes circuitry configured to decode coded data in a coding block including a hierarchical structure to generate quantized data. The circuitry sets, based on a difference value between a current quantization parameter for a current coding block and a slice quantization parameter for a slice in which the current coding block is located, the current quantization parameter for the current coding block in a layer lower than a layer of a largest coding block. Further, the circuitry inversely quantizes the generated quantized data based on the set current quantization parameter.

Abstract: In one embodiment, a computer-implemented method includes identifying one or more subjects appearing in an image captured by a mobile device. One or more approval statuses are determined, and an approval status is associated with each of the one or more subjects appearing in the image. Determining the one or more approval statuses includes searching, by a computer processor of the mobile device, within stored data for a blanket approval status applicable to the image for each subject in the image. A blanket approval status specifies an approval status to be applied for images captured in certain circumstances. The one or more approval statuses of the one or more subjects are displaying in association with the image, on the mobile device. It is determined whether the image is approved for publication based on the one or more approval statuses of the one or more subjects in the image.

Abstract: At least some aspects of the present disclosure feature systems and methods for note recognition. The note recognition system includes a sensor, a note recognition module, and a note extraction module. The sensor is configured to capture a visual representation of a scene having one or more notes. The note recognition module is coupled to the sensor. The note recognition module is configured to receive the captured visual representation and determine a general boundary of a note from the captured visual representation. The note extraction module is configured to extract content of the note from the captured visual representation based on the determined general boundary of the note.

Abstract: A method for detecting the gender only from a person's fingerprint data in real time. Testing consists of determining if the fingerprint is taken from the right hand or the left hand, taking a core point as reference from a selected fingerprint, analyzing the size of an obtained fingerprint part, drawing a diagonal line, then automatically determining ridge lines crossed by the diagonal line, calculating the ridge counts, determining ridge thicknesses, determining the numbers of black and white pixel from the obtained values, determining average fingerprint ridge counts for men and women, combining these parameters for applying them to intelligent system, preparing the structure of the system, training and testing the system, and performing these processes automatically on a computer or a web-based intelligent system which consists of different modules.

Abstract: Video-based object tracking accuracy is improved by a tentative identification of objects to be tracked. An identified blob that does not encompass a previously established set of tracking features (“tracker”) triggers initialization of an infant tracker. If that tracker remains the only tracker or becomes the “oldest” tracker associated with a blob identified in subsequent video frames, the “age” of the tracker is increased. If, in subsequent frames, the tracker is encompassed by a blob that is associated with an “older” tracker, the “age” of the tracker is decreased. Infant trackers that reach or exceed a threshold “age” are promoted to adult status. Adult trackers can be processed as being associated with valid objects. Trackers established for blobs identified due to mask segmentation tend not to cause false object detections. When segmentation is corrected, blob segments are combined and redundant trackers for the associated object are demoted and ignored.

Abstract: Embodiments relate to a method for real-time facial animation, and a processing device for real-time facial animation. The method includes providing a dynamic expression model, receiving tracking data corresponding to a facial expression of a user, estimating tracking parameters based on the dynamic expression model and the tracking data, and refining the dynamic expression model based on the tracking data and estimated tracking parameters. The method may further include generating a graphical representation corresponding to the facial expression of the user based on the tracking parameters. Embodiments pertain to a real-time facial animation system.

Abstract: In an image processing apparatus, an image including an object is displayed on an operation surface. A position in the image that is designated by a user input is recognized. When the object is displayed at the recognized position, different editing operations with respect to the object are accepted according to the length of duration during which the position is continuously designated. As the different editing operations, at least a copying operation to copy the object and a cutting operation to cut the object from the image are distinctively accepted.